EnforceAuth Launches the First AI-Native Security Fabric as Enterprises Brace for Autonomous Software

EnforceAuth introduces the first AI-native security fabric, addressing the security risks posed by autonomous software within enterprises.

United States, 13th Feb 2026 – As artificial intelligence moves from experimentation to the core of enterprise operations, risk executives are discovering that yesterday’s identity‑ and role‑based security models cannot govern non‑human decision makers or distributed, machine-driven workflows operating as shared infrastructure. Independent surveys reveal that 71 % of CISOs report that AI already has access to core business systems but only 16 % believe that access is effectively governed. Likewise, 94 % of security leaders see AI as the most significant driver of change in cybersecurity, and 87 % identify AI‑related vulnerabilities as the fastest‑growing risk. Boards are calling for new controls as regulatory scrutiny intensifies.

EnforceAuth today announced the industry’s first AI‑native Security Fabric, a decision‑centric platform engineered to secure autonomous software. Developed by operators who scaled policy‑as‑code and authorization systems for the Fortune 500, the platform monitors and authorizes every action taken by AI agents, bots and automated workflows in real time. Unlike legacy identity and access management (IAM) tools, which were designed to grant static privileges to human users, EnforceAuth evaluates each decision on the basis of context, delegated authority, risk and intent – and can constrain or revoke permissions instantly.

Executive Summary

• Market urgency – Autonomous software is already acting on behalf of employees and customers. Surveys show that 92 % of organizations lack full visibility into AI identities and 95 % doubt they could detect misuse if it occurred. Traditional IAM systems were never designed for such machine‑driven activity.
• Regulatory and board pressure – AI‑driven threats and regulatory uncertainty make cyber risk a board‑level priority. Boards are asking sharper questions about AI risk, but most organizations lack structured processes to assess AI security.
• EnforceAuth response – The AI‑native Security Fabric provides continuous authorization and audit for machine decisions. It ensures that every AI action is permissible, attributable, and accountable, aligning with regulators’ expectations while supporting innovation.

The Challenge: AI and Legacy Security Are Misaligned

Legacy security practices revolve around authenticating users, assigning roles and granting permissions. These models assume that humans initiate actions and can be held accountable. 

Even organizations that have modernized authorization using policy-as-code often find that evaluation alone is insufficient once decisions span services, systems, and tenants, creating governance and audit gaps at the infrastructure level.

In contrast, AI agents now:

Read and modify customer data, change configurations and chain API calls across systems without human oversight.

Operate at machine speed with behaviors that don’t match human patterns, leaving behind incomplete or temporary records.

Multiply identities and connections, increasing the attack surface and making traditional credentials management insufficient.

CISOs confirm that AI is already in production: AI tools now access source code, cloud infrastructure and critical systems, and data leakage, shadow AI and over‑privileged agents top their list of fears. Yet 86 % of organizations do not enforce access policies for AI identities and 75 % have discovered unsanctioned AI tools running in their environments. Regulatory bodies are beginning to mandate governance frameworks for AI, and boards expect management to demonstrate oversight.

The Solution: Decision‑Centric Security for Autonomous Systems

EnforceAuth’s AI‑native Security Fabric rethinks the foundation of enterprise security. Key features include:

Decision-centric authorization evaluates every action taken by humans or machines, based on context, delegated authority, risk, and intent. This enables policies to adapt in real-time, rather than relying on static roles, ensuring more dynamic and accurate decision-making.

Delegated authority and ephemerality support fine-grained, time-bounded permissions for AI agents and workflows. This ensures that privileges only exist for the duration and scope necessary, adding an extra layer of control over AI systems.

Continuous verification constantly monitors actions and their outcomes, making it possible to revoke or adjust authority immediately when risk thresholds are exceeded or anomalous behavior is detected. This ongoing assessment enhances the overall security and adaptability of the system.

Auditability and governance generate tamper-resistant logs of machine decisions, providing verifiable records for compliance audits and forensic analysis. These records ensure transparency and accountability within the system.

Operator-grade pedigree is built by engineers who have delivered scalable policy-as-code and enterprise authorization systems. EnforceAuth treats authorization as critical infrastructure, not just an add-on tool, positioning it as a fundamental part of any enterprise system.

With EnforceAuth, organizations can answer fundamental questions such as: Who or what is allowed to do something? On whose behalf? Using which tools? Under what conditions? How is that authority constrained, revoked and audited in real time? This capability is essential for AI systems that often act across organizational boundaries and integrate with third‑party services.

Differentiators

1. Designed for AI from day one – While competitors retrofit AI onto legacy platforms, EnforceAuth’s architecture assumes autonomous agents and non‑human decision makers. It supports delegated authority, policy‑as‑code and dynamic context for machine speed operations.
2. Decision‑first model – By focusing on decisions rather than identities, the platform provides continuous verification for any action, whether initiated by a human, an AI agent or an automated workflow.
3. Real‑world credibility – The founding team built policy‑as‑code and authorization systems that power Fortune 500 platforms. EnforceAuth is not a speculative project but a response to observed gaps in enterprises adopting AI.
4. Integrated governance – The Security Fabric aligns with emerging regulatory frameworks by providing evidence and audit trails needed for compliance, while supporting innovation through fine‑grained, context‑aware controls.

Why It Matters

Protects enterprise value – With the average cost of a data breach nearing US$5 million in 2024, preventing machine‑driven mistakes and unauthorized actions is critical. EnforceAuth reduces the likelihood of costly incidents by ensuring that AI agents cannot act outside their mandate.

Supports risk‑informed innovation – By automating security governance, the platform allows organizations to deploy AI agents and autonomous workflows without expanding the attack surface. 88 % of organizations plan to increase AI security spend, and a decision‑centric approach ensures that those investments translate into effective controls.

Meets regulatory expectations – Regulators and industry bodies are moving toward risk‑based AI governance. EnforceAuth provides the transparency and auditability required to satisfy these mandates.

Boards demand action – Directors are treating AI risk as a strategic business challenge. The Security Fabric offers a concrete response, enabling executives to demonstrate oversight and control over autonomous software.

Availability

EnforceAuth’s AI‑native Security Fabric is available for qualified enterprises through a free waitlist. Early adopters will collaborate with EnforceAuth to shape feature priorities, share real‑world feedback and help define emerging standards for AI security. To request access, visit www.EnforceAuth.com.

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About EnforceAuth

EnforceAuth is a security technology company founded by Mark Rogge, a veteran of enterprise authorization and policy‑as‑code platforms. Headquartered in San Diego, California, the company is dedicated to building the critical infrastructure needed to govern autonomous software. EnforceAuth’s AI‑native Security Fabric gives enterprises confidence to adopt AI and autonomous workflows without sacrificing security, compliance or operational agility.
Website: www.EnforceAuth.com

Company Details

Organization: EnforceAuth

Contact Person: Mark Rogge

Website: http://www.enforceauth.com

Email: Send Email

Country: United States

Release Id: 13022640996